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Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding

BACKGROUND: Tumor-related hyperintensities in high b-value diffusion-weighted imaging (DWI) are radiologically important in the workup of gliomas. However, the white matter may also appear as hyperintense, which may conflate interpretation. PURPOSE: To investigate whether DWI with spherical b-tensor...

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Autores principales: Brabec, Jan, Durmo, Faris, Szczepankiewicz, Filip, Brynolfsson, Patrik, Lampinen, Björn, Rydelius, Anna, Knutsson, Linda, Westin, Carl-Fredrik, Sundgren, Pia C., Nilsson, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069143/
https://www.ncbi.nlm.nih.gov/pubmed/35527815
http://dx.doi.org/10.3389/fnins.2022.842242
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author Brabec, Jan
Durmo, Faris
Szczepankiewicz, Filip
Brynolfsson, Patrik
Lampinen, Björn
Rydelius, Anna
Knutsson, Linda
Westin, Carl-Fredrik
Sundgren, Pia C.
Nilsson, Markus
author_facet Brabec, Jan
Durmo, Faris
Szczepankiewicz, Filip
Brynolfsson, Patrik
Lampinen, Björn
Rydelius, Anna
Knutsson, Linda
Westin, Carl-Fredrik
Sundgren, Pia C.
Nilsson, Markus
author_sort Brabec, Jan
collection PubMed
description BACKGROUND: Tumor-related hyperintensities in high b-value diffusion-weighted imaging (DWI) are radiologically important in the workup of gliomas. However, the white matter may also appear as hyperintense, which may conflate interpretation. PURPOSE: To investigate whether DWI with spherical b-tensor encoding (STE) can be used to suppress white matter and enhance the conspicuity of glioma hyperintensities unrelated to white matter. MATERIALS AND METHODS: Twenty-five patients with a glioma tumor and at least one pathology-related hyperintensity on DWI underwent conventional MRI at 3 T. The DWI was performed both with linear and spherical tensor encoding (LTE-DWI and STE-DWI). The LTE-DWI here refers to the DWI obtained with conventional diffusion encoding and averaged across diffusion-encoding directions. Retrospectively, the differences in contrast between LTE-DWI and STE-DWI, obtained at a b-value of 2,000 s/mm(2), were evaluated by comparing hyperintensities and contralateral normal-appearing white matter (NAWM) both visually and quantitatively in terms of the signal intensity ratio (SIR) and contrast-to-noise ratio efficiency (CNR(eff)). RESULTS: The spherical tensor encoding DWI was more effective than LTE-DWI at suppressing signals from white matter and improved conspicuity of pathology-related hyperintensities. The median SIR improved in all cases and on average by 28%. The median (interquartile range) SIR was 1.9 (1.6 – 2.1) for STE and 1.4 (1.3 – 1.7) for LTE, with a significant difference of 0.4 (0.3 –0.5) (p < 10(–4), paired U-test). In 40% of the patients, the SIR was above 2 for STE-DWI, but with LTE-DWI, the SIR was below 2 for all patients. The CNR(eff) of STE-DWI was significantly higher than of LTE-DWI: 2.5 (2 – 3.5) vs. 2.3 (1.7 – 3.1), with a significant difference of 0.4 (−0.1 –0.6) (p < 10(–3), paired U-test). The STE improved CNR(eff) in 70% of the cases. We illustrate the benefits of STE-DWI in three patients, where STE-DWI may facilitate an improved radiological description of tumor-related hyperintensity, including one case that could have been missed out if only LTE-DWI was inspected. CONCLUSION: The contrast mechanism of high b-value STE-DWI results in a stronger suppression of white matter than conventional LTE-DWI, and may, therefore, be more sensitive and specific for assessment of glioma tumors and DWI-hyperintensities.
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spelling pubmed-90691432022-05-05 Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding Brabec, Jan Durmo, Faris Szczepankiewicz, Filip Brynolfsson, Patrik Lampinen, Björn Rydelius, Anna Knutsson, Linda Westin, Carl-Fredrik Sundgren, Pia C. Nilsson, Markus Front Neurosci Neuroscience BACKGROUND: Tumor-related hyperintensities in high b-value diffusion-weighted imaging (DWI) are radiologically important in the workup of gliomas. However, the white matter may also appear as hyperintense, which may conflate interpretation. PURPOSE: To investigate whether DWI with spherical b-tensor encoding (STE) can be used to suppress white matter and enhance the conspicuity of glioma hyperintensities unrelated to white matter. MATERIALS AND METHODS: Twenty-five patients with a glioma tumor and at least one pathology-related hyperintensity on DWI underwent conventional MRI at 3 T. The DWI was performed both with linear and spherical tensor encoding (LTE-DWI and STE-DWI). The LTE-DWI here refers to the DWI obtained with conventional diffusion encoding and averaged across diffusion-encoding directions. Retrospectively, the differences in contrast between LTE-DWI and STE-DWI, obtained at a b-value of 2,000 s/mm(2), were evaluated by comparing hyperintensities and contralateral normal-appearing white matter (NAWM) both visually and quantitatively in terms of the signal intensity ratio (SIR) and contrast-to-noise ratio efficiency (CNR(eff)). RESULTS: The spherical tensor encoding DWI was more effective than LTE-DWI at suppressing signals from white matter and improved conspicuity of pathology-related hyperintensities. The median SIR improved in all cases and on average by 28%. The median (interquartile range) SIR was 1.9 (1.6 – 2.1) for STE and 1.4 (1.3 – 1.7) for LTE, with a significant difference of 0.4 (0.3 –0.5) (p < 10(–4), paired U-test). In 40% of the patients, the SIR was above 2 for STE-DWI, but with LTE-DWI, the SIR was below 2 for all patients. The CNR(eff) of STE-DWI was significantly higher than of LTE-DWI: 2.5 (2 – 3.5) vs. 2.3 (1.7 – 3.1), with a significant difference of 0.4 (−0.1 –0.6) (p < 10(–3), paired U-test). The STE improved CNR(eff) in 70% of the cases. We illustrate the benefits of STE-DWI in three patients, where STE-DWI may facilitate an improved radiological description of tumor-related hyperintensity, including one case that could have been missed out if only LTE-DWI was inspected. CONCLUSION: The contrast mechanism of high b-value STE-DWI results in a stronger suppression of white matter than conventional LTE-DWI, and may, therefore, be more sensitive and specific for assessment of glioma tumors and DWI-hyperintensities. Frontiers Media S.A. 2022-04-21 /pmc/articles/PMC9069143/ /pubmed/35527815 http://dx.doi.org/10.3389/fnins.2022.842242 Text en Copyright © 2022 Brabec, Durmo, Szczepankiewicz, Brynolfsson, Lampinen, Rydelius, Knutsson, Westin, Sundgren and Nilsson. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Brabec, Jan
Durmo, Faris
Szczepankiewicz, Filip
Brynolfsson, Patrik
Lampinen, Björn
Rydelius, Anna
Knutsson, Linda
Westin, Carl-Fredrik
Sundgren, Pia C.
Nilsson, Markus
Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding
title Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding
title_full Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding
title_fullStr Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding
title_full_unstemmed Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding
title_short Separating Glioma Hyperintensities From White Matter by Diffusion-Weighted Imaging With Spherical Tensor Encoding
title_sort separating glioma hyperintensities from white matter by diffusion-weighted imaging with spherical tensor encoding
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9069143/
https://www.ncbi.nlm.nih.gov/pubmed/35527815
http://dx.doi.org/10.3389/fnins.2022.842242
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